Tag
#MIT Schwarzman College of Computing
-
-
Ecologists find computer vision models’ blind spots in retrieving wildlife images
-
MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures
-
Lara Ozkan named 2025 Marshall Scholar
-
Teaching a robot its limits, to complete open-ended tasks safely
-
AI in health should be regulated, but don’t forget about the algorithms, researchers say
-
Researchers reduce bias in AI models while preserving or improving accuracy
-
Enabling AI to explain its predictions in plain language
-
Daniela Rus wins John Scott Award
-
Citation tool offers a new approach to trustworthy AI-generated content
-
MIT delegation mainstreams biodiversity conservation at the UN Biodiversity Convention, COP16
-
A new way to create realistic 3D shapes using generative AI
-
Photonic processor could enable ultrafast AI computations with extreme energy efficiency
-
Improving health, one machine learning system at a time
-
MIT researchers develop an efficient way to train more reliable AI agents
-
Advancing urban tree monitoring with AI-powered digital twins
-
Can robots learn from machine dreams?
-
3 Questions: Inverting the problem of design
-
A causal theory for studying the cause-and-effect relationships of genes
-
A portable light system that can digitize everyday objects
-
Nanoscale transistors could enable more efficient electronics
-
A faster, better way to train general-purpose robots
-
Making it easier to verify an AI model’s responses
-
Combining next-token prediction and video diffusion in computer vision and robotics
-
How AI is improving simulations with smarter sampling techniques
-
AI pareidolia: Can machines spot faces in inanimate objects?
-
Helping robots zero in on the objects that matter
-
New security protocol shields data from attackers during cloud-based computation
-
3 Questions: Should we label AI systems like we do prescription drugs?
-
Study: AI could lead to inconsistent outcomes in home surveillance
-
Enhancing LLM collaboration for smarter, more efficient solutions
-
A fast and flexible approach to help doctors annotate medical scans
-
A framework for solving parabolic partial differential equations
-
LLMs develop their own understanding of reality as their language abilities improve
-
MIT researchers use large language models to flag problems in complex systems
-
Helping robots practice skills independently to adapt to unfamiliar environments
-
Precision home robots learn with real-to-sim-to-real
-
Method prevents an AI model from being overconfident about wrong answers
-
Study: When allocating scarce resources with AI, randomization can improve fairness
-
MIT researchers advance automated interpretability in AI models
-
AI model identifies certain breast tumor stages likely to progress to invasive cancer
-
Creating and verifying stable AI-controlled systems in a rigorous and flexible way
-
AI method radically speeds predictions of materials’ thermal properties
-
How to assess a general-purpose AI model’s reliability before it’s deployed
-
Marking a milestone: Dedication ceremony celebrates the new MIT Schwarzman College of Computing building
-
Reasoning skills of large language models are often overestimated
-
When to trust an AI model
-
MIT researchers introduce generative AI for databases
-
Helping nonexperts build advanced generative AI models
-
MIT-Takeda Program wraps up with 16 publications, a patent, and nearly two dozen projects completed
-
Understanding the visual knowledge of language models
-
A smarter way to streamline drug discovery
-
Technique improves the reasoning capabilities of large language models
-
Researchers use large language models to help robots navigate
-
New algorithm discovers language just by watching videos
-
A technique for more effective multipurpose robots
-
Looking for a specific action in a video? This AI-based method can find it for you
-
Controlled diffusion model can change material properties in images
-
2024 MAD Design Fellows announced
-
Scientists use generative AI to answer complex questions in physics
-
Using ideas from game theory to improve the reliability of language models
-
The power of App Inventor: Democratizing possibilities for mobile applications
-
A better way to control shape-shifting soft robots
-
Creating bespoke programming languages for efficient visual AI systems
-
Natural language boosts LLM performance in coding, planning, and robotics
-
Julie Shah named head of the Department of Aeronautics and Astronautics
-
Mapping the brain pathways of visual memorability
-
This tiny chip can safeguard user data while enabling efficient computing on a smartphone
-
To build a better AI helper, start by modeling the irrational behavior of humans
-
3 Questions: Enhancing last-mile logistics with machine learning